Upload 15 files

app.py

@@ -6,6 +6,41 @@ This file imports the fully-built `demo` object from main.py so all logic
 stays in one place, then calls demo.launch() for local/Docker runs.
 """
 
+# ── Compatibility shim ────────────────────────────────────────────────────────
+# huggingface_hub >=0.24 removed HfFolder.
+# Some Gradio versions (including 5.0.x) still do
+#   `from huggingface_hub import HfFolder, whoami`
+# in their oauth.py at import time, crashing before our code runs.
+# We inject a minimal shim into the module namespace BEFORE importing Gradio
+# so that import succeeds regardless of huggingface_hub version.
+try:
+    from huggingface_hub import HfFolder as _  # noqa: F401 — present, nothing to do
+except ImportError:
+    import sys
+    import huggingface_hub as _hfhub
+
+    class _HfFolderShim:
+        """Minimal drop-in for the removed huggingface_hub.HfFolder class."""
+
+        @staticmethod
+        def get_token():
+            try:
+                return _hfhub.get_token()
+            except Exception:
+                return None
+
+        @staticmethod
+        def save_token(token: str) -> None:
+            pass  # no-op; token management is handled by the HF runtime
+
+        @staticmethod
+        def delete_token() -> None:
+            pass
+
+    _hfhub.HfFolder = _HfFolderShim  # type: ignore[attr-defined]
+    sys.modules["huggingface_hub"].HfFolder = _HfFolderShim  # type: ignore[attr-defined]
+
+# ── Now safe to import Gradio (and transitively, our app) ────────────────────
 from main import demo  # noqa: F401  — `demo` must be importable at module level
 
 if __name__ == "__main__":

app/video_processor.py

@@ -5,7 +5,7 @@ import traceback
 from datetime import datetime
 from pathlib import Path
 
-from moviepy.editor import VideoFileClip, concatenate_videoclips
+from moviepy import VideoFileClip, concatenate_videoclips  # moviepy 2.x API
 
 from app.utils import format_duration
 from config.settings import settings
@@ -45,7 +45,7 @@ def crop_video(video_path: str, segments: list[dict]) -> tuple[str, str]:
     timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
     output_path = output_dir / f"short_video_{timestamp}.mp4"
 
-    source: VideoFileClip | None = None
+    source = None  # type: Optional[VideoFileClip]
     clips: list[VideoFileClip] = []
 
     try:
@@ -66,7 +66,7 @@ def crop_video(video_path: str, segments: list[dict]) -> tuple[str, str]:
                 continue
 
             logger.info(f"Extracting clip: {start:.1f}s → {end:.1f}s")
-            clips.append(source.subclip(start, end))
+            clips.append(source.subclipped(start, end))
 
         if not clips:
             raise ValueError(

main.py

@@ -127,7 +127,7 @@ def _join(lines: list[str]) -> str:
 # ── Pipeline function 1: Analyze (generator) ─────────────────────────────────
 
 def analyze_video(
-    video_path: str | None,
+    video_path,  # str | None — Optional[str], compatible with Python 3.9+
     progress: gr.Progress = gr.Progress(),
 ):
     """

requirements.txt

@@ -4,7 +4,7 @@ torch
 torchaudio
 
 # ── Video processing ──────────────────────────────────────────────────────────
-moviepy==1.0.3
+moviepy>=2.0.0
 ffmpeg-python>=0.2.0
 yt-dlp>=2024.1.1